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A new semantic segmentation approach of 3D mesh using the stereoscopic image colors

机译:一种使用立体图像颜色的3D网格语义分割新方法

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摘要

This paper introduces a new mesh segmentation approach into semantic parts, most closely resemble those made by humans, which is based on the pixel color of the images used in the 3D reconstruction. This approach allows to segment the mesh into semantic and a much simpler way than most of the mesh segmentation methods that are based on the geometrical characteristics of the mesh. The principle of our method is to establish a link between the color objects of the scene and the mesh while exploiting the link between the interest points of the images brought into play and the vertices of 3D mesh. The results in great part, reflect the efficiency and performance of our method.
机译:本文基于3D重建中使用的图像的像素颜色,将一种新的网格分割方法引入到语义部分中,该方法最类似于人的语义部分。与大多数基于网格的几何特征的网格分割方法相比,这种方法允许将网格分割为语义,并且方法要简单得多。我们的方法的原理是在场景的色彩对象和网格之间建立链接,同时利用所带入的图像的兴趣点与3D网格的顶点之间的链接。结果在很大程度上反映了我们方法的效率和性能。

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